Description
As a Delivery Solutions Architect at Databricks, you will be a trusted technical advisor embedded within the customer organisation. You will work closely with sales and field engineering to accelerate adoption and growth of the Databricks platformقت You will ensure customer success by providing technical accountability for our most complex customers,helping them maximise the value of Databricks workloads they have already selected and improving their return on investment.
This role blends deep technical leadership with strategic customer engagement. You will own the post-sales technical strategy for the customer’s highest-value use cases and serve as their primary advisor across the Databricks platform.
Key responsibilities include:
- Being the accountable Databricks Architect for your assigned customers, working with technical teams to guide priority use cases from design through go-live,removing blockers, providing best practices, and ensuring stable, scalable adoption.
- Leading the post-technical-win strategy and execution plan for major Databricks use cases, aligning with Solutions Architects to understand full demand plans and drive clarity across multiple selling teams and stakeholders.
- Owning the technical leadership of assigned use cases, creating certainty from ambiguity and coordinating onboarding, enablement, success, go-live, and healthy consumption of workloads selected for Databricks.
- Serving as the first point of contact for production/go-live status, often across multiple complex use cases within large enterprise organisations.
- Orchestrating the broader Databricks ecosystem,Shared Services, User Education, Onboarding/Technical Services, Support, and specialist technical teams,to ensure high-quality delivery and escalate advanced issues when needed.
- Creating and executing a point of view for accelerating use cases into production, collaborating with Professional Services on proposals as needed.
- Partnering with Product and Engineering to introduce new capabilities, private previews, and upgrade paths that support customer roadmaps.
Requirements include:
- Programming experience in Python, SQL, or Scala, and a solid understanding of distributed data systems.
- 5+ years of experience delivering Data, Analytics, or AI projects, with the ability to contribute to architectural discussions with customers.
- Experience in customer-facing technical roles such as technical architecture, pre-sales, consulting, or customer success.
- Ability to guide architectural decisions in domains such as data engineering, data architecture, data warehousing, or data science.
- Demonstrated ability to drive delivery outcomes without hands-on keyboard responsibilities.
- Experience resolving complex escalations with senior customer stakeholders.
- Understanding of how to connect technical deliverables to business value.
- Track record of achieving or exceeding goals or objectives.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience.
- Fluency in English is required; French or German language skills are a plus.
- Ability to travel up to 30%.